Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320915997> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4320915997 endingPage "012089" @default.
- W4320915997 startingPage "012089" @default.
- W4320915997 abstract "Abstract Generative models (GM) are promising applications for near-term quantum computers due to the probabilistic nature of quantum mechanics. This work compares a classical conditional generative adversarial network (CGAN) with a quantum circuit Born machine while addressing their strengths and limitations to generate muonic force carriers (MFCs) events. The former uses a neural network as a discriminator to train the generator, while the latter takes advantage of the stochastic nature of measurements in quantum mechanics to generate samples. We consider a muon fixed-target collision between muons produced at the high-energy collisions of the LHC and the detector material of the ForwArd Search ExpeRiment (FASER) or the ATLAS calorimeter. In the ATLAS case, independent muon measurements performed by the inner detector (ID) and muon system (MS) can help observe new force carriers coupled to muons, which are usually not detected. We numerically observed that CGANs could reproduce the complete data set and interpolate to different regimes. Moreover, we show on a simplified problem that Born machines are promising generative models for near-term quantum devices." @default.
- W4320915997 created "2023-02-16" @default.
- W4320915997 creator A5001923006 @default.
- W4320915997 creator A5007468027 @default.
- W4320915997 creator A5015891572 @default.
- W4320915997 creator A5017741513 @default.
- W4320915997 creator A5074675821 @default.
- W4320915997 date "2023-02-01" @default.
- W4320915997 modified "2023-09-26" @default.
- W4320915997 title "Generating muonic force carriers events with classical and quantum neural networks" @default.
- W4320915997 cites W1990869665 @default.
- W4320915997 cites W2045656688 @default.
- W4320915997 cites W2082137964 @default.
- W4320915997 cites W2257937122 @default.
- W4320915997 cites W2559394418 @default.
- W4320915997 cites W2614083378 @default.
- W4320915997 cites W2797767079 @default.
- W4320915997 cites W2798474886 @default.
- W4320915997 cites W2926552232 @default.
- W4320915997 cites W2951518632 @default.
- W4320915997 cites W3098389423 @default.
- W4320915997 cites W3100806676 @default.
- W4320915997 cites W3102863431 @default.
- W4320915997 cites W3103936969 @default.
- W4320915997 cites W3103963833 @default.
- W4320915997 cites W4226348722 @default.
- W4320915997 doi "https://doi.org/10.1088/1742-6596/2438/1/012089" @default.
- W4320915997 hasPublicationYear "2023" @default.
- W4320915997 type Work @default.
- W4320915997 citedByCount "0" @default.
- W4320915997 crossrefType "journal-article" @default.
- W4320915997 hasAuthorship W4320915997A5001923006 @default.
- W4320915997 hasAuthorship W4320915997A5007468027 @default.
- W4320915997 hasAuthorship W4320915997A5015891572 @default.
- W4320915997 hasAuthorship W4320915997A5017741513 @default.
- W4320915997 hasAuthorship W4320915997A5074675821 @default.
- W4320915997 hasBestOaLocation W43209159971 @default.
- W4320915997 hasConcept C109214941 @default.
- W4320915997 hasConcept C120665830 @default.
- W4320915997 hasConcept C121332964 @default.
- W4320915997 hasConcept C121864883 @default.
- W4320915997 hasConcept C154945302 @default.
- W4320915997 hasConcept C205334942 @default.
- W4320915997 hasConcept C2779803651 @default.
- W4320915997 hasConcept C41008148 @default.
- W4320915997 hasConcept C50644808 @default.
- W4320915997 hasConcept C62520636 @default.
- W4320915997 hasConcept C84114770 @default.
- W4320915997 hasConcept C87668248 @default.
- W4320915997 hasConcept C94915269 @default.
- W4320915997 hasConceptScore W4320915997C109214941 @default.
- W4320915997 hasConceptScore W4320915997C120665830 @default.
- W4320915997 hasConceptScore W4320915997C121332964 @default.
- W4320915997 hasConceptScore W4320915997C121864883 @default.
- W4320915997 hasConceptScore W4320915997C154945302 @default.
- W4320915997 hasConceptScore W4320915997C205334942 @default.
- W4320915997 hasConceptScore W4320915997C2779803651 @default.
- W4320915997 hasConceptScore W4320915997C41008148 @default.
- W4320915997 hasConceptScore W4320915997C50644808 @default.
- W4320915997 hasConceptScore W4320915997C62520636 @default.
- W4320915997 hasConceptScore W4320915997C84114770 @default.
- W4320915997 hasConceptScore W4320915997C87668248 @default.
- W4320915997 hasConceptScore W4320915997C94915269 @default.
- W4320915997 hasIssue "1" @default.
- W4320915997 hasLocation W43209159971 @default.
- W4320915997 hasOpenAccess W4320915997 @default.
- W4320915997 hasPrimaryLocation W43209159971 @default.
- W4320915997 hasRelatedWork W2008720822 @default.
- W4320915997 hasRelatedWork W2087182208 @default.
- W4320915997 hasRelatedWork W2126514135 @default.
- W4320915997 hasRelatedWork W2399261606 @default.
- W4320915997 hasRelatedWork W2748952813 @default.
- W4320915997 hasRelatedWork W3106441232 @default.
- W4320915997 hasRelatedWork W3198368845 @default.
- W4320915997 hasRelatedWork W4251755784 @default.
- W4320915997 hasRelatedWork W4280643863 @default.
- W4320915997 hasRelatedWork W4321099759 @default.
- W4320915997 hasVolume "2438" @default.
- W4320915997 isParatext "false" @default.
- W4320915997 isRetracted "false" @default.
- W4320915997 workType "article" @default.